Cheol Jun Cho

Hi, I am a PhD student in EECS at UC Berkeley. I am co-advised by Dr. Gopala K. Anumanchipalli and Dr. Jack L. Gallant. I closely collaborate with Chang Lab led by Dr. Edward Chang at UCSF.

My main research focus is on investigating representation of intelligence - How do intelligent systems represent complex behaviors and concepts? Can we design representations that are more grounded and interpretable? Currently, I am answering these questions in speech domain using diverse techniuqes in machine learning, AI, and neuroscience.

Before I came to Berkeley, I received a B.S. in Computer Science and Engineering at Seoul National University in Korea.

Email  /  CV  /  Google Scholar

profile photo

Publications

Sylber: Syllabic Embedding Representation of Speech from Raw Audio
Cheol Jun Cho, Nicholas Lee, Akshat Gupta, Dhruv Agarwal, Ethan Chen, Alan W Black, Gopala K. Anumanchipalli
Preprint
paper

Coding Speech through Vocal Tract Kinematics
Cheol Jun Cho, Peter Wu, Tejas S. Prabhune, Dhruv Agarwal, Gopala K. Anumanchipalli
JSTSP 2025
paper code

SD-HuBERT: Sentence-Level Self-Distillation Induces Syllabic Organization in HuBERT
Cheol Jun Cho, Abdelrahman Mohamed, Shang-Wen Li, Alan W Black, Gopala K. Anumanchipalli
ICASSP 2024
paper code

Self-Supervised Models of Speech Infer Universal Articulatory Kinematics
Cheol Jun Cho, Abdelrahman Mohamed, Alan W Black, Gopala K. Anumanchipalli
ICASSP 2024
paper

Unconstrained Dysfluency Modeling for Dysfluent Speech Transcription and Detection
Jiachen Lian, Carly Feng, Naasir Farooqi, Steve Li, Anshul Kashyap, Cheol Jun Cho, Peter Wu, Robbie Netzorg, Tingle Li, Gopala K. Anumanchipalli
ASRU 2023
paper

A variational autoencoder provides novel, data-driven features that explain functional brain representations in a naturalistic navigation task
Cheol Jun Cho, Tianjiao Zhang, Jack L. Gallant
VSS 2023 paper

Neural Latent Aligner: Cross-trial Alignment for Learning Representations of Complex, Naturalistic Neural Data
Cheol Jun Cho, Edward F, Chang, Gopala K. Anumanchipalli
ICML 2023
paper

Speaker-Independent Acoustic-to-Articulatory Speech Inversion
Peter Wu, Li-Wei Chen, Cheol Jun Cho, Shinji Watanabe, Louis Goldstein, Alan W Black, Gopala K. Anumanchipalli
ICASSP 2023
paper

Evidence of Vocal Tract Articulation in Self-Supervised Learning of Speech
Cheol Jun Cho, Peter Wu, Abdelrahman Mohamed, Gopala K. Anumanchipalli
ICASSP 2023
paper

Cross-trial alignment reveals a low-dimensional cortical manifold of naturalistic speech production
Cheol Jun Cho, Edward F. Chang, Gopala K. Anumanchipalli
COSYNE 2023

A bird’s-eye view of brain activity in socially interacting mice through mobile edge computing (MEC)
Jisoo Kim, Chaewoo Kim, Hio-Been Han, Cheol Jun Cho, Wooseob Yeom, Sung Q. Lee, Jee Hyun Choi
Science Advances 2020
paper


Template from Jon Barron's website.